https://github.com/iambijoykar/amber
Amber is a custom made Neural Network library written in Python.
https://github.com/iambijoykar/amber
ai deep-learning deep-learning-algorithms deeplearning-ai machine-learning neural-network neural-networks python python3
Last synced: 3 months ago
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Amber is a custom made Neural Network library written in Python.
- Host: GitHub
- URL: https://github.com/iambijoykar/amber
- Owner: iamBijoyKar
- Created: 2024-09-13T19:20:07.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-09-23T16:47:15.000Z (9 months ago)
- Last Synced: 2025-02-14T01:50:30.379Z (4 months ago)
- Topics: ai, deep-learning, deep-learning-algorithms, deeplearning-ai, machine-learning, neural-network, neural-networks, python, python3
- Language: Python
- Homepage:
- Size: 17.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
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Amber
Amber is a custom made Neural Network library written in Python. I am build this libray to learn more about Neural Networks and how they work. Maybe in the future I will use this library to build some cool projects.
## Requirements 📦
- Python 3.6 or higher
- Numpy == 2.1.1## Components Implemented 🧩
- [x] Models
- [x] Layers
- [x] Input
- [x] Dense
- [x] Softmax
- [x] Activation Functions
- [x] ReLU
- [x] Sigmoid## Usage 🚀
```python
from amber.models import Models
from amber.layers import Dense, Input, Softmaxmodel = Models([
Input(2),
Dense(3, activation='relu'),
Dense(2, activation='sigmoid'),
Softmax()
])model.compile()
x = np.array([1.3, 2.7])
y = model.forward(x)
```
## Future Plans 🚀
- [ ] Implement more layers
- [ ] Implement more activation functions
- [ ] Implement Backpropagation
- [ ] Implement Optimizers
- [ ] Implement Loss Functions## Directory Structure 📁
```bash
├── amber
│ ├── layers.py
│ ├── models.py
│ ├── activations.py
│ ├── nurons.py
│ ├── utils.py
```## Support Me 🙏
If you like this project, consider supporting me. You can do this by:
- Starring this repository
- Sharing this repository with your friends
- Following me on [Twitter](https://x.com/iamBijoyKar)